{
  "case_id": "gear_sonic/end_to_end_cli_loop",
  "command_fixture": {
    "data": [
      0.3,
      0.0,
      0.0
    ],
    "kind": "velocity"
  },
  "description": "RoboWBC CLI loop running configs/sonic_g1.toml through the synthetic transport with a JSON report.",
  "host_fingerprint": "runnervmeorf1 | Linux 6.17.0-1010-azure | x86_64 | AMD EPYC 9V74 80-Core Processor",
  "hz": 26.9112,
  "interpretation": "This row answers the operator-facing question: can the whole deployment loop hold the target frequency, not just one inference call?",
  "notes": "Measured via official GEAR-Sonic C++ ONNX Runtime harness on the pinned source checkout.",
  "p50_ns": 1126,
  "p95_ns": 105738091,
  "p99_ns": 106342462,
  "provider": "cpu",
  "raw_source": "/home/runner/work/robowbc/robowbc/artifacts/benchmarks/nvidia/official/raw/gear_sonic__end_to_end_cli_loop.json",
  "robowbc_commit": "f1b940ac0f78c77252c18eb69b8d9f2f6effd3b5",
  "samples": 200,
  "schema_version": 1,
  "source_command": "python3 scripts/bench_nvidia_official.py --case gear_sonic/end_to_end_cli_loop",
  "stack": "official_nvidia",
  "status": "ok",
  "upstream_commit": "bc38f6d0ce6cab4589e025037ad0bfbab7ba73d8",
  "warmup_policy": "default_cli_loop_200_ticks"
}